METHOD OF RECOMMENDING PERSONAL BROADCASTING CONTENTS

• US 20190098352A1
• Filed: 11/28/2017
• Published: 03/28/2019
• Est. Priority Date: 09/22/2017
• Status: Active Grant

• Current Assignee: Wooju Jung
• Original Assignee: Wooju Jung
• Inventors: JUNG, WooJu
• Granted Patent: US 10,462,508 B2
• Time in Patent Office: Days
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/4788 communicating with other users, e.g. chatting arrangements for providing for computer conferences, e.g. chat rooms, to substation in data switching networks H04L12/1813; distributed application using peer-to-peer [P2P] networks H04L67/104
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 21/80 Generation or processing of content or additional data by content creator independently of the distribution process; Content per se arrangements for generating broadcast information H04H60/02
• CPC Class Codes: H04W 4/06 Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services

Abstract

The present invention is related to a method for recommending personal broadcasting contents, comprising analyzing personal broadcasting contents conducted by a personal broadcasting host and analyzing broadcasting characteristics of the personal broadcasting host, determining current user characteristics including at least user status and user preference; and searching for broadcasting characteristics of a personal broadcasting host that matches the current user characteristics and providing at least one recommended personal broadcasting channel.

Claims

1. A method for recommending personal broadcasting contents, comprising:

(a) analyzing personal broadcasting contents conducted by a personal broadcasting host and analyzing broadcasting characteristics of the personal broadcasting host,

(b) determining current user characteristics comprising at least user status and user preference; and

(c) searching for broadcasting characteristics of a personal broadcasting host that matches the current user characteristics and providing at least one recommended personal broadcasting channel.

2. The method of claim 1, wherein the (b) step further comprises

(b-1) analyzing the user status on the basis of a movement displacement of a user terminal;

and

(b-2) analyzing the user preference on the basis of user preference contents.

3. The method of claim 1, wherein the (a) step comprises

separating a first contents element generated by the personal broadcasting host and a second contents element not generated by the personal broadcasting host from the personal broadcasting contents.

4. The method of claim 3, wherein the (a) step further comprises

determining broadcasting characteristics of the personal broadcasting host by applying different contents analysis techniques to the first and the second contents elements.

5. The method of claim 4, wherein the (a) step further comprises

determining a core keyword through keyword analysis related to the first contents element;

and

determining a specific associated word by analyzing correlation between each of a plurality of associated words dependent on the core keyword and the second contents element.

6. The method of claim 2, wherein the (b-1) step comprises

calculating the movement displacement by analyzing positions of the user terminal collected at specific time points;

and

analyzing the user status by analyzing correlation between a movement pattern analyzed on the basis of the movement displacement and a regular life pattern.

7. The method of claim 2, wherein the (b-2) step comprises

determining the user preference by determining one of the first and the second contents element contained in the user preference contents.

8. The method of claim 1, wherein the (b) step comprises

determining a life pattern inferred at the current time and a life pattern dependent user preference about personal broadcasting contents most preferred out of the life pattern as the current user characteristics.

9. The method of claim 1, wherein the (c) step comprises determining the at least one recommended personal broadcasting channel on the basis of the life pattern dependent user preference contained in the current user characteristics.